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【麻省理工】如何用Ai做任何事 | Mit How To Ai (Almost) Anything, Spring 2026

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2026-05-21 12:01:44

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【麻省理工】如何用Ai做任何事 | Mit How To Ai (Almost) Anything, Spring 2026

哈佛“疯了”！建议不是学计算机专业的人，想学计算机以及想学编程的人，可以先看一下CS50的《Introduction to computer science》

【耶鲁大学】《量化金融》全42讲（完整版）：面向金融+AI方向的系统训练、MIT 量化交易/量化金融/金融数学/

MIT 量化交易/量化金融/金融数学/12周的课程几乎解决所有量化金融问题

数学不好的同学，可以去看看华盛顿Steve Brunton教授的《数学基础》瞬间秒懂！尤其是他讲 SVD、特征值这些机器学习核心概念的几节课，瞬间打开任通二脉！

1.Probability and Statistics_ Overview _Chinese_translated

29:43

2.Gentle Introduction to Probability_ Counting Coin Flips and Dice _Chinese_tran

20:05

3.Counting Probabilities with Combinatorics and the Factorial _Chinese_translate

17:50

4.Set Theory in Probability_ Sample Spaces and Events _Chinese_translated

24:13

5.The Birthday Problem in Probability_ P(A) = 1 - P(not A) _Chinese_translated

20:21

6.Quality Control, Non-Destructive Inspection, and the Multinomial Distribution

13:30

7.The Binomial Distribution and the Multinomial Distribution_Chinese_translated

16:32

8.Conditional Probabilities _Chinese_translated

13:11

9.The Law of Total Probability_Chinese_translated

10:14

10.Bayes' Theorem (with Example!) _Chinese_translated

17:43

11.Bayes' Theorem Example_ Drug Testing 🌿 _Chinese_translated

12:32

12.Independence in Probability _Chinese_translated

13:00

13.Random Variables and Probability Distributions _Chinese_translated

21:57

14.Bernoulli and Binomial Random Variables _Chinese_translated

24:41

15.The Normal Distribution_ The Limit of Binomial Distribution for Large _n_ _Ch

17:15

16.The Standard Unit Normal and Probability Computations _Chinese_translated

17:12

17.The Poisson Distribution_ The Rare Event Limit of a Binomial Distribution_Chi

13:01

18.The Geometric Distribution_ The First Success of a Bernoulli Distribution _Ch

12:56

19.The Exponential Distribution_ Time Between Poisson Events _Chinese_translated

18:46

20.The Hazard Rate and Memoryless Property of the Exponential Distribution _Chin

07:11

21.The Connection Between the Exponential Distribution and the Poisson Process _

10:13

22.The Gamma Distribution _Chinese_translated

12:30

23.Functions of a Random Variable_Chinese_translated

13:36

24.Rescaling the Normal Distribution to Mean Zero and Variance One _Chinese_tran

09:16

25.The Chi Squared Distribution_ The Square of the Normal Distribution _Chinese_

13:09

26.Joint Probability Distributions_Chinese_translated

14:34

27.Joint Probability Distributions_ Marginal and Conditional Densities -_Chinese

09:36

28.The Expected Value (Mean) of a Probability Distribution _Chinese_translated

15:24

29.Properties of the Expected Value _Chinese_translated

10:18

30.Variance and Standard Deviation _Chinese_translated

12:59

31.Example of Computing the Expectation and Variance of an Exponential Distribut

11:58

32. Examples of Expected Values & Functions_ Temperature in C vs F, and the Kine

15:26

33.Markov's Inequality in Probability_ First Order Estimates _Chinese_translated

08:09

34.Chebyshev's Inequality in Probability_ Second Order Estimates _Chinese_transl

09:44

35.The Law of Large Numbers_Chinese_translated

12:44

36.The Central Limit Theorem _Chinese_translated

10:57

37.The Moment Generating Function_Chinese_translated

21:57

38.Example of The Moment Generating Function_Chinese_translated

09:48

39.The Lebesque Measure in Probability _Chinese_translated (1)

06:21

40.Additive Property of the Moment Generating Function _Chinese_translated

06:18

41.Covariance and Correlation in Probability_Chinese_translated

19:34

42.Covariance and Correlation_ Example with Gaussian Distributions _Chinese_tran

05:29

43.The Tail Sum Formula in Probability_Chinese_translated

09:04

MIT 计算机教育中缺失的一课(中英双字幕)、时间顶级名校最详细计算机知识讲解...

【2026】机器学习周志华亲讲-西瓜书全网最详讲解：附：书籍pdf+ppt

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